Senior Data Labeling Specialist
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Senior Data Labeling Specialist at CloudFactory (Remote). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CloudFactory, Other, and Sama. Education includes Master of Science, University of Colorado Boulder (2018) and Bachelor of Science, Colorado State University (2016). AI-training focus includes data types such as Video, Text, and Image and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).
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You led annotation projects spanning image, text, audio, and video datasets while ensuring comprehensive coverage and quality. You performed ongoing review and validation of team outputs to maintain accuracy above 98% and reduce defects through structured QA. You created annotation guidelines and QA procedures and supported team learning via training and dataset audits. • Maintained annotation accuracy exceeding 98% through review and validation. • Reduced project errors by 25% using QA procedures and audits. • Developed and implemented annotation guidelines and documentation. • Trained and mentored annotators and performed dataset audits and error analysis.
You delivered data annotation and AI training services for a range of organizations, supporting generative AI and large language models. You completed over 2 million annotation tasks while maintaining average quality ratings above 95%. You managed multiple concurrent projects and delivered work that met client expectations and deadlines. • Completed over 2 million annotation tasks with average quality ratings above 95%. • Contributed labeled data to generative AI and LLM-focused projects. • Managed multiple concurrent projects and consistently met deadlines. • Ensured high-quality data input for downstream AI training.
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You executed image and text annotation for AI and machine learning projects, completing over 800,000 annotations with quality scores exceeding 97%. You performed sentiment analysis and entity extraction to support NLP dataset development and computer vision/NLP dataset preparation. You improved workflow processes to reduce turnaround times and developed documentation and guidelines to ensure consistent quality control. • Completed 800,000+ annotations with quality scores exceeding 97%. • Performed sentiment analysis and entity extraction tasks. • Assisted in preparing datasets for NLP and computer vision models. • Developed documentation and annotation guidelines to standardize QC.
Master of Science, Computer Science
Bachelor of Science, Computer Science
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